1. The mean absolute error used the same scale as the data being measured. 2. Thus the sum of absolute errors remains the same. 3. The smoothed values of the error and the absolute error are given by: 4. The " L " " norm is the Mean Uniform Absolute Error 5. The relative error is the absolute error divided by the magnitude of the exact value. 6. For example, by minimizing the least absolute error rather than the least square error. 7. The vertical blue lines represent the absolute errors from the pink line to each data point. 8. As the binary meaning was extended to higher prefixes, the absolute error between the two meanings increased. 9. The mean absolute error is one of a number of ways of comparing forecasts with their eventual outcomes. 10. In words, the absolute error is the magnitude of the difference between the exact value and the approximation.
